Project Grant 2515257

Award Date 6/1/25
Completion Date 5/31/28
Dollars Obligated $420K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Miami, FL 33199, USA
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  1. Identifying optimal sensor configurations to balance spatial coverage and cost-efficiency for monitoring sewer systems.
  2. Developing advanced anomaly detection algorithms to distinguish physical hydraulic events from sensor-related noise.
  3. Empirically evaluating the performance of AI and machine learning models in mitigating CSOs across diverse operational conditions, through field deployments in two urban sewer networks.

The project outcomes, including open-source modeling tools, anomaly detection techniques, and a field-validated assessment of AI's role in enhancing urban wastewater infrastructure resilience, will be disseminated through technical workshops and open-access platforms to promote widespread adoption of AI-driven sewer management solutions.

Generated 7/1/25, 2:42 AM